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Showing 1 to 1 of 1 for “"stochastic convex feasibility problem"”.
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Random projection methods for stochastic convex minimization
The first focus of this thesis is to solve a stochastic convex minimization problem over an arbitrary family of nonempty, closed and convex sets. The problem has random features. Gradient or subgradient of objective function carries stochastic errors. Number of constraint sets can be extensive or …